LLM Comparison

Claude Fable 5 vs GPT-6.1 Sol (High): benchmark scores, pricing & comparison.

Side-by-side Claude Fable 5 vs GPT-6.1 Sol (High) comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Verdict: Claude Fable 5 ranks higher (#5 vs #25) and wins 3 of 4 shared benchmarks.

Rank #5 vs #25AskClash overall scores 72.6 vs 63.8.
Pricing $10.0/$50.0 vs —/—Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs OpenAI.

Claude Fable 5 vs GPT-6.1 Sol (High) benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricClaude Fable 5GPT-6.1 Sol (High)
Overall Score72.663.8
Leaderboard Rank#5#25
ACB64.669.9
RWT9.0—
Coding Agent Index77.2—
HLE64.551.4
GPQA94.5—
IFEval80.3—
SWE-bench95.5—
SWE-Pro80.3—
SWE-Atlas83.3—
Terminal-Bench42.4—
DeepSWE69.7—
GDPval-AA1932.51511.3
OSWorld85.0—
Finance Agent56.3—
CharXiv93.5—
MMMU-Pro89.384.9
ARC-AGI 2—91.7
Tau289.2—
Input Price (per 1M tokens)$10.0—
Output Price (per 1M tokens)$50.0—
Context Window1M+1.05M
Benchmarks Published158

Claude Fable 5 vs GPT-6.1 Sol (High) head-to-head charts

Claude Fable 5 leads 4 and GPT-6.1 Sol (High) leads 1 of 5 shared benchmarks. Charts show only benchmarks both models publish.

Claude Fable 5GPT-6.1 Sol (High)
Overall
72.6Claude Fable 5
63.8GPT-6.1 Sol (High)
ACB
64.6Claude Fable 5
69.9GPT-6.1 Sol (High)
HLE
64.5Claude Fable 5
51.4GPT-6.1 Sol (High)
GDPval-AA
1932.5Claude Fable 5
1511.3GPT-6.1 Sol (High)
MMMU-Pro
89.3Claude Fable 5
84.9GPT-6.1 Sol (High)
Claude Fable 5
Input$10.0
Output$50.0
Workload$20
Context1M+
GPT-6.1 Sol (High)
Input—
Output—
Workload—
Context1.05M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More Claude Fable 5 and GPT-6.1 Sol (High) comparisons

Explore how Claude Fable 5 and GPT-6.1 Sol (High) stack up against other top-ranked LLMs.

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.